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JMLR
2002
111views more  JMLR 2002»
13 years 8 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
SIAMAM
2011
12 years 11 months ago
On the Optimal Receiver Activation Function for Distance-Based Geographic Transmissions
In wireless networks, the channels are often subject to random variations that limit the reliability of communications between any two radios. Geographic transmission strategies ca...
Murali Rao, Tathagata D. Goswami, Joseph Glover, J...
BMCBI
2010
109views more  BMCBI 2010»
13 years 8 months ago
Functional characterization and topological modularity of molecular interaction networks
Background: Analyzing interaction networks for functional characterization poses significant challenges arising from the noisy, incomplete, and generic nature of both the interact...
Jayesh Pandey, Mehmet Koyutürk, Ananth Grama
KCAP
2005
ACM
14 years 2 months ago
Relaxed Precision and Recall for Ontology Matching
In order to evaluate the performance of ontology matching algorithms it is necessary to confront them with test ontologies and to compare the results. The most prominent criteria ...
Marc Ehrig, Jérôme Euzenat
ISMIR
2004
Springer
118views Music» more  ISMIR 2004»
14 years 2 months ago
Learning to Align Polyphonic Music
We describe an efficient learning algorithm for aligning a symbolic representation of a musical piece with its acoustic counterpart. Our method employs a supervised learning appr...
Shai Shalev-Shwartz, Joseph Keshet, Yoram Singer